US technology controls are reaching deeper into communications supply chains. Under FCC 26-50, the Federal Communications Commission no longer focuses only on brands or final assembly. Its emerging framework now extends to chips, modules, software, firmware, design ownership, production location and supply-chain control, raising new compliance risks for optical transceivers, networking equipment and ODM suppliers.
Global AI computing is rapidly moving beyond single-GPU systems toward AI Factory architectures, where agentic AI and inference workloads are pushing data centers to rely on networking, optics, packaging, cooling, power delivery and software co-design rather than raw accelerator counts. In a DIGITIMES interview, Nvidia Senior Vice President of Networking Gilad Shainer said the real unit of computing is now the entire data center, not an individual server.
Beijing's decision to sharply cut approval rates for Indian business travelers is exposing a structural weakness in India's push to scale up electronics manufacturing: the country still cannot get enough Chinese equipment, components, and technical staff into its factories without China's cooperation.
Global supply chains are facing a fresh squeeze as helium shipments, electronic components, and industrial raw materials are hit by higher costs and transport risks, with effects that ripple outward: shortages can raise device prices, complicate manufacturing plans, and deepen dependence on a few key suppliers.
Taiwanese display driver IC (DDI) maker Fitipower Integrated Technology's Chairman Young Lin said the company will roll out several new products for sampling and mass production in 2026, laying the groundwork for continued revenue growth. He added that the e-paper and electronic label markets are a major focus, with Fitipower hoping for sequential quarterly growth this year. However, he said end-market demand is not yet strong and still requires caution.
LiteOn Technology plans to begin trial production of its 800V high-voltage direct current (HVDC) solutions in August as it prepares to scale next-generation power systems for AI data centers.
Global AI computing is rapidly moving beyond single-GPU systems toward AI Factory architectures, where agentic AI and inference workloads are pushing data centers to rely on networking, optics, packaging, cooling, power delivery and software co-design rather than raw accelerator counts. In a DIGITIMES interview, Nvidia Senior Vice President of Networking Gilad Shainer said the real unit of computing is now the entire data center, not an individual server.
